Title: Perceptrons, Reissue of the 1988 Expanded Edition with a new foreword by Léon Bottou: An Introduction to Computational Geometry, Author: Marvin Minsky
Title: Bayesian Optimization in Action, Author: Quan Nguyen
Title: Pulsed Neural Networks, Author: Wolfgang Maass
Title: Deep Learning with R, Second Edition, Author: Francois Chollet
Title: Inside Deep Learning: Math, Algorithms, Models, Author: Edward Raff
Title: TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, Author: Bharath Ramsundar
Title: The Harmonic Mind: From Neural Computation to Optimality-Theoretic Grammar Volume II: Linguistic and Philosophical Implications, Author: Paul Smolensky
Title: Self-Organizing Maps / Edition 3, Author: Teuvo Kohonen
Title: Machine Learning with R, the tidyverse, and mlr, Author: Hefin I. Rhys
Title: Deep Learning and the Game of Go, Author: Max Pumperla
Title: Introduction to EEG- and Speech-Based Emotion Recognition, Author: Priyanka A. Abhang
Title: Common LISP Modules: Artificial Intelligence in the Era of Neural Networks and Chaos Theory / Edition 1, Author: Mark Watson
Title: Automatic Modulation Recognition of Communication Signals / Edition 1, Author: Elsayed Azzouz
Title: Neural Networks and Analog Computation: Beyond the Turing Limit / Edition 1, Author: Hava T. Siegelmann
Title: Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications / Edition 1, Author: Okyay Kaynak
Title: Artificial Life: A Report from the Frontier Where Computers Meet Biology, Author: Steven Levy
Title: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches, Author: Stefano V. Albrecht
Title: Neural Networks and Learning Machines / Edition 3, Author: Simon Haykin
Title: Bayesian Learning for Neural Networks / Edition 1, Author: Radford M. Neal
Title: Neural Network Learning: Theoretical Foundations, Author: Martin Anthony

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